Job Description
Company: MakeMyTrip Pvt. LTD
Location: Gurugram, Haryana, India
Job Type: Full-Time
Experience: 4 – 6 Years
Education: Bachelor’s degree in Engineering (B. Tech/BE in Computer Science, IT, or
related field)
Expected Salary: ₹12 – ₹18 Lakhs per year
Job Category: Hospitality, Information Technology, Engineering
Website: Website info
Contact: Contact us
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About the Role:
As an Assistant Manager – Product Analyst on the Flights Product team, you will set the
charter, roadmap, and strategy for Goibibo/MakeMyTrip’s flight products. You’ll define
features, drive implementation, and ensure successful launches that improve funnel
conversion, monetization, ancillary uptake, and NPS.
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Key Responsibilities:
→ Data Analysis & Reporting:
o Create interactive dashboards and reports by interpreting multi‑source
data.
o Develop and execute database queries; mine data to uncover trends and
patterns.
→ Product Roadmap & Strategy:
o Define product vision and features based on user behaviour and market
insights.
o Collaborate with stakeholders (engineering, design, marketing) to prioritize
and launch features.
→ Performance Measurement:
o Establish KPIs for product health—conversion metrics, revenue uplift,
engagement.
o Monitor performance post‑launch and iterate to optimize results.
→ Cross‑Functional Collaboration:
o Partner with management to align product initiatives with business goals.
o Support go‑to‑market strategy and coordinate with marketing, sales, and
operations.
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Requirements:
→ 4–6 years of experience in product analytics, business analysis, or a related role,
preferably in travel or e‑commerce.
→ Bachelor’s degree in Engineering (B. Tech/BE) or equivalent.
→ Proficiency in SQL and Advanced Excel for data querying and analysis.
→ Familiarity with BI tools (e.g., Adobe Analytics/Omniture, Google Analytics,
Redash).
→ Strong analytical mindset, with the ability to translate data into actionable
insights.
→ Excellent communication and stakeholder management skills.
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Desired Skills:
→ Experience with Python or R for statistical analysis.
→ Knowledge of A/B testing frameworks and experimentation methodologies.
→ Understanding of product management life cycle and agile development
processes.
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